Xu-Hai Fan

DSCFormer: A Dynamic Sparse Causal Attention Network for Efficient Traffic Flow Prediction

Traffic flow prediction is a core task in intelligent transportation systems, yet existing Transformer-based models suffer from high computational complexity, weak dynamic spatial modeling, and a lack of strict temporal causality constraints. We propose the dynamic sparse causal attention network (DSCFormer), which joi...